Advanced Problem and Anomaly Detection with Zabbix

Advanced Problem and Anomaly Detection with Zabbix

This course is completely focused on problem detection. It covers areas ranging from creating simple triggers to using new long-term analytical functions.

Information about the course

Designed for the product: Zabbix 7.0
Group size: Small groups (up to 10 students)
Requirements: None
Course language: Czech
Available online: Yes
Course length: 1 DAY
Course price: € 490 excluding VAT

Course content

Day 1

 
  • Detecting problems in Zabbix
  • Detecting problems by combining multiple metrics
  • Most used trigger functions
  • Time-based trigger functions
  • Predictive trigger functions
  • Long-term analysis using trend data
  • Preventing trigger flapping
  • Detecting problems using log files
  • Dependencies between problems
  • Reacting to problems using actions
  • Event correlation rules
Tomáš Heřmánek

Tomáš Heřmánek

CEO & Zabbix Certified Trainer
Tomáš is a huge fan of OpenSource technologies, including Zabbix. He specializes in application servers, automation, and monitoring. Over the last ten years, he has been involved in several large-scale projects that have received extremely positive feedback. Tomáš holds a unique Zabbix Certified Trainer certificate from Zabbix SIA. Additionally, he enjoys sharing his expertise through training sessions and community events.

Additional information

No previous training required.
The course includes advanced practical exercises.
Each participant will be provided with a PDF of the presentations and practical exercises for the training.

Certificate

  • Each participant will obtain a certificate of Zabbix 7.0 course completion
initMAX - certificate
Other courses

Course certificates and gifts

For all attendees

Dárek ke kurzu
Course attendance certificate and digital badge

Prevent alert storms and false alarms

by utilizing a variety of Zabbix trigger functions

React only to root cause problems

with trigger dependencies and event correlation

Configure dynamic problem detection thresholds

with baseline monitoring and anomaly detection features

Detect problems proactively

by configuring predictive problem detection

Registration

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